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365 Data Science

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365 Data Science

Avg Rating:4.75 ( 5 reviews )

365 Data Science is a self-paced, online Data Science bootcamp. The flexible course schedule means there is no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science concepts, and specializations. There are no prerequisites required to enroll. The curriculum is designed for beginners. 

In the first module, students learn data science fundamentals, such as advanced Excel, Tableau, and Power BI as well as fundamentals of probability and statistics. In the second module, students learn programming for data science, how to work with relational databases, use essential SQL queries to preprocess data, code in Python, and leverage popular Python libraries, like NumPy and Matplotlib. Students will also learn the best ways to manipulate and visualize data in R. The third module teaches students the concepts of machine learning and deep learning, and students begin applying advanced statistical methods for predictive analytics. Within the third module, students use sklearn to build complete linear and logistic regression models from scratch, and cluster unlabeled datasets with k-means. Students will progress to building deep learning models with the Keras library in TensorFlow 2. In module four, students choose to specialize their data science skill set to meet the needs of different industries, such as finance or banking. Students can choose any (or all) of the specialization exercises, which include Credit Risk Modeling in Python, Time Series Analysis in Python, and Customer Analytics in Python. 

To enroll, students pay a monthly fee. 365 Data Science hosts an annual Data Science scholarship competition. 365 Data Science offers career services to students, such as portfolio advice and resume feedback. Students receive course-specific certificates upon completion. Students that complete the entire program receive a personal, verifiable certificate of completion.

Recent 365 Data Science Reviews: Rating 4.75

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    • Data Science

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      Start Date None scheduled
      CostN/A
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      LocationOnline
      The online Data Science bootcamp is self-paced with a flexible course schedule and no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science concepts, and specializations. There are no prerequisites required to enroll. The curriculum is designed for beginners. In the first module, students learn data science fundamentals, such as advanced Excel, Tableau, and Power BI as well as fundamentals of probability and statistics. In the second module, students learn programming for data science, how to work with relational databases, use essential SQL queries to preprocess data, code in Python, and leverage popular Python libraries, like NumPy and Matplotlib. Students will also learn the best ways to manipulate and visualize data in R. The third module teaches students the concepts of machine learning and deep learning, and students begin applying advanced statistical methods for predictive analytics. Within the third module, students use sklearn to build complete linear and logistic regression models from scratch, and cluster unlabeled datasets with k-means. Students will progress to building deep learning models with the Keras library in TensorFlow 2. In module four, students choose to specialize their data science skill set to meet the needs of different industries, such as finance or banking. Students can choose any (or all) of the specialization exercises, which include Credit Risk Modeling in Python, Time Series Analysis in Python, and Customer Analytics in Python.
      Financing
      DepositTuition is to be paid in monthly installments of $36.
      Tuition PlansMontly, annual and quarterly subscriptions.
      Scholarship365 Data Science currently does not offer scholarships.
      Getting in
      Minimum Skill LevelNo prerequisites required!
      Placement TestNo
      InterviewNo
    • Jose García  User Photo
      Jose García • Data Scientist • Graduate • Verified via LinkedIn
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      I took this course and was surprising see how simple certain problems can be solved with detailed analysis of the information, without having to use heavy tools such as automatic learning algorithms and even Deep learning. I recommend this course at all, amazing teachers with not only knowledge, also with great teaching abilities, demonstrating that people can learn even if they don't have knowledge about Data Science.
    • Data Analytics
      - 12/8/2020
      Data scientist with a experience in executing data driven solutions to increase efficiency and accuracy and utility of internal data processing.  User Photo
      Data scientist with a experience in executing data driven solutions to increase efficiency and accuracy and utility of internal data processing. • Data Analyst • Graduate • Verified via LinkedIn
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      An amazing learning experience! Especially the way of explaining things, moving from one concept to another while interconnecting the concepts and implementation of the concept in real-world scenarios was very good. I would rate this program a five star.
    • Taruna  User Photo
      Taruna • Applicant Verified via GitHub
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    • Data science
      - 12/3/2020
      Ravi Kumar • Graduate
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      It's amazing experience while learning from simplilearn ... Unique features of live classes along with interactive learning caters every need 😇
    • Rainbow Training Institute • Student
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